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https://issues.apache.org/jira/browse/SPARK-19095?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-19095.
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Resolution: Duplicate
If this isn't something supported yet, it's not a bug, and I'd resolve this as
a duplciate of the parent.
> virtualenv example does not work in yarn cluster mode
> -----------------------------------------------------
>
> Key: SPARK-19095
> URL: https://issues.apache.org/jira/browse/SPARK-19095
> Project: Spark
> Issue Type: Sub-task
> Reporter: Yesha Vora
> Priority: Critical
>
> Spark version: 2
> Steps:
> * install virtualenv on all nodes
> * create requirement1.txt with "numpy > requirement1.txt "
> * Run kmeans.py application in yarn-cluster mode.
> {code}
> spark-submit --master yarn --deploy-mode cluster --conf
> "spark.pyspark.virtualenv.enabled=true" --conf
> "spark.pyspark.virtualenv.type=native" --conf
> "spark.pyspark.virtualenv.requirements=/tmp/requirements1.txt" --conf
> "spark.pyspark.virtualenv.bin.path=/usr/bin/virtualenv" --jars
> /usr/hdp/current/hadoop-client/lib/hadoop-lzo.jar kmeans.py
> /tmp/in/kmeans_data.txt 3{code}
> The application fails to find numpy.
> {code}
> LogType:stdout
> Log Upload Time:Thu Jan 05 20:05:49 +0000 2017
> LogLength:134
> Log Contents:
> Traceback (most recent call last):
> File "kmeans.py", line 27, in <module>
> import numpy as np
> ImportError: No module named numpy
> End of LogType:stdout
> {code}
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